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SST-704 Introduction to Reliability Model Revised

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Nguyễn Gia Hào

Academic year: 2023

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MODULE HANDBOOK Module name Introduction to Reliability Model Module level, if applicable 3rd year

Code, if applicable SST-704 Semester(s) in which the

module is taught 7th (seventh) Person responsible for the

module Muhammad Muhajir, S.Si., M.Sc.

Lecturer Muhammad Hasan Sidiq Kurniawan, S.Si., M.Sc.

Language Bahasa Indonesia

Relation to curriculum Elective course in the third year (7th semester) Bachelor Degree Types of

teaching and learning

Class size Attendance time (hours per week per semester)

Form of active participation

Workload

(hours per semester)

Lecture 50-60 2.5 Discussion and

presentation

Face to face teaching 35 Structured activities 48 Independent study 48

Exam 5

Total workload 136 hours

Credit points 3 CUs / 5.1 ECTS Requirements according to

the examination regulations

Minimum attendance at lectures is 75%. Final score is evaluated based on quiz, assignment, mid-term exam, and final exam.

Recommended prerequisites Introduction to Mathematical Statistics I (SST-302).

Related course Introduction to Survival Analysis (SST-615)

Module objectives/intended learning outcomes

After completing this course, the students have ability to:

CO 1. applied the statistical distribution in reliability problems.

CO 2. estimate the appropriate estimation for parameters in reliability process.

CO 3. analyze and present the research result based on reliability Process

Content

Introduction to reliability Case

Statistical distributions for reliability Case and its application.

Reliability Model Case Study

Study and examination requirements and forms of examination

The final mark will be weighted as follows:

No Assessment components

Assessment types Weight (percentage)

1 CO 1 Quiz, Assignment 30%

2 CO 2 Midterm Exam 30%

3 CO 3 Final Exam 40%

Media employed Google Classroom, relevant websites, slides (power points), video, interactive media, white-board, laptop, LCD projector

Reading list

1. Rausand, M. and Hoyland, A. System Reliability Theory. John Wiley

& Sons, Inc.

2. Lee, E. T. and Wang, J. W. Statistical Methods for Survival Data Analysis. John Wiley & Sons, Inc.

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Mapping CO, PLO, and ASIIN’s SSC

ASIIN PLO

E N T H U S I A S T I C

Knowledge a b c

d CO2

Ability e CO1

CO3 f

Competency

g CO2

h i j k l

Referensi

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